Ask your buildings anything

Kaiterra AI turns your indoor environmental quality data into answers. Ask a question in your own words, and get a clear response from your own devices. No dashboards to learn. No spreadsheets to export.

Why did CO₂ spike in Conference Room B last night?

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THE PROBLEM

You have the data. Getting answers shouldn’t be this hard.

Too many tabs and filters Finding one answer means clicking through views and menus, then learning yet another tool.

Reports take hours to make Monthly summaries and before-and-after comparisons get pieced together by hand, every single time.

Answers need an expert Reading the data takes real know-how in WELL, ASHRAE and HVAC. If that's not you, the answers stay out of reach.

Closing the loop for building performance, simply by chatting

Understand, diagnose, report, and share, all in a single conversation. Issues get resolved faster, your team gets support, and occupant experience improves.

Kaiterra AI-Big image with tabs-Stay in the know, with zero effort-2100x750-1

Kaiterra AI-Big image with tabs-Dive deep into problematic areas-2100x750- 2

Kaiterra AI-Big image with tabs-Report to your team in one click-2100x750-3

Kaiterra AI-Big image with tabs-Integrate with your existing tools-2100x750 - 5

Capabilities

See Kaiterra AI in action

You don't have to toggle filters and tabs to know your air quality. Just ask, in your own words. Ask about one room or your whole portfolio at once, run deep analysis and diagnostics, check certification compliance, and more.

Kaiterra AI Building 3 · Live

CO₂ peaked at 1,480 ppm around 7:40 PM in Conference Room B.

An after-hours all-hands ran ~90 min past the HVAC schedule; ventilation had already ramped down for the night.

620

5PM

740

6PM

1180

7PM

1480

8PM

910

9PM

Cross-referenced: occupancy schedule · HVAC runtime · outdoor air

Your air quality is genuinely strong and on track for WELL. Here's the realistic WELL projection:

Preconditions — all 4 should pass:

A01 — avg PM2.5 near 0 µg/m³, avg TVOC 347 µg/m³, both under WELL threshold

A03 CO₂ — avg 481 ppm, under WELL threshold

T01 Temperature — avg 73.8°F (23.2°C), within the required range

Optimization points — projected 7 of 7:

FeaturePoints

A05 (PM2.5)2 pts

A06 (CO₂)2 pts

A082 pts

T06 & T072 pts

Checked against WELL v2 thresholds · portfolio roll-up

Here's the monthly IAQ summary built from your 30-day portfolio data:

Monthly IAQ Summary — July 2026 Portfolio

Headline: 3 buildings have persistent, multi-metric failures that need attention this month; 4 buildings are performing at or near excellent across all parameters.

30-Day Performance Stack Rank

Building	Air Quality %	Thermal Comfort %	CO₂ % Excellent	PM2.5 % Excellent	TVOC % Excellent	Temp % Comfortable	Humidity % Comfortable	Priority
Courtyard 3 Connector	53%	0%	80%	25%	0%	0%	0%	Investigate all metrics
Lejo House	67%	2%	100%	1%	100%	0%100% too warm	4%96% too humid	Thermal + PM2.5 failure
Josh Test	59%	69%	88%	15%	74%	59%	79%	PM2.5 & temp needs attention
Andu's US Test Building	70%	69%	95%	30%	86%	38%62% too warm	100%	Overheating + PM2.5
Kyle's Home	67%	100%	0%	100%	100%	100%	100%	CO₂ sensor data gap
Haywood	94%	66%	100%	96%	87%	49%	83%	Temperature running warm

Roll-up: 6 buildings · 30-day window · Jul 2026

41 of 43 devices are healthy. 2 on Floor 3 dropped below −85 dBm.

The weak devices are clustered near a recently relocated partition wall — likely blocking line of sight to the gateway.

-58

Fl 1

-61

Fl 2

-88

Fl 3

-63

Fl 4

-59

Fl 5

Network scan · RSSI / SNR per device · gateway map

Environmental Quality Diagnostics

It checks everything you would have, if you had an entire afternoon.

Ask why PM2.5 climbed on the fourth floor and Kaiterra AI goes and looks. Thousands of sensor data points, minute-level readings around the event, the latest outdoor monitoring data, occupancy, your floor plans, and the annotations your team logged months ago. It assembles the full picture before it says a word, then walks you through what it found and why.

HVAC Schedule Analysis

Find out what your HVAC is doing when nobody is in the building.

Ask when your air handlers actually run, and Kaiterra AI answers from sensor evidence instead of the BMS schedule on file. It investigates occupancy patterns, reads supply air from duct sensors, and flags the gaps: conditioning empty floors, ramping up an hour too late, or running filtration that no longer matches room conditions. Every mismatch is a line item you can take to facilities.

WELL Compliance Tracking

Know where you stand on WELL before the audit does.

Ask how a building is tracking against the WELL v2 Air Concept and Kaiterra AI reads your live sensor data against the thresholds that matter. It separates real issues from connectivity gaps, covers the pollutants that carry optimization points, and shows you which spaces are at risk while there is still time to act. Cross-reference the findings against your WELL Compliance Report before submission.

Evolving Building Context

Tell it once. It knows from then on.

Drop in mechanical drawings, engineering letters, commissioning reports, or a photo of the room. Kaiterra AI reads them alongside live sensor data, so it reasons about your actual airflow, capacity, and materials instead of readings alone. Log an event once, like weekly cooking in the cafeteria, and it factors that into every future analysis. Context is shared across everyone in the building, so the tool gets better for the whole team.

THE CONTEXT FOUNDATION

Built to understand your building.

Kaiterra AI works only from the real data flowing from your monitors, combined with what it knows about your building. Every answer is grounded in your context, not guessed by a generic model.

See Kaiterra AI in action

Ask anything, in plain English

You don’t have to toggle filters and tabs to know your air quality. Just ask, in your own words. Ask about one room, compare two buildings, or check your whole portfolio at once.

Answers the “why,” not just the “what”

It doesn’t just tell you a number is high. It looks into why. Kaiterra AI works through your data, from the long-term trend down to the exact moment something changed, and explains the likely cause and what to check next.

Know the standards you care about

Know where your WELL project stands, simply by asking. Kaiterra AI already knows the WELL rules and thresholds, so you don’t have to. Your air is always measured against the standards that matter to you, like WELL, LEED, RESET, and ASHRAE.

Outputs you can share, instantly

Every answer comes with clear charts. Save any chart as an image, or turn a whole conversation into a ready-to-share report or slide deck in seconds. Great for updating your team, tenants, or leadership.

Stay ahead with simple alerts

Set up alerts just by asking, like “let me know if CO₂ goes above 1200 during work hours.” Kaiterra AI sets it up for you, and even suggests alerts worth having. You can also get a regular summary of how your air is doing.

Built for your whole team

Share an answer with a colleague or client through a simple link. No login needed on their end. Keep each building’s notes, documents, and photos in one place, so the context stays with the building and answers keep getting better.

Use case examples

See what you can ask.

Real questions from real people. Tap any tile to see how Kaiterra AI answers it.

The payoff

Less time clicking.

More time deciding.

Faster answers

From hours of digging to a single question

Getting an answer used to take multiple clicks. Now you just ask, and spend your time deciding what to do instead of hunting for the right chart.

Faster reporting

Ready-to-use reports in minutes, not days

Charts, talking points, and slides come out ready to drop into your report or deck. No more manual screenshotting.

Stay ahead of problems

Identify risks and find issues early

Stay ahead of the changes that matter. Problems surface, get explained, and get addressed before they become complaints.

trust and governance

Your AI sees exactly what you see. Nothing more, nothing less.

Kaiterra AI doesn't get special access to your data. It gets your access. Every question is answered using your own login session, governed by the same role-based permissions as the rest of your Kaiterra data platform. If you can't see a building, neither can the AI.

No privileged backdoor No master account, no elevated credentials. Every request is authenticated with your identity.

Industry-standard authentication Secured with OAuth 2.1, the same mechanism trusted connectors for Claude and ChatGPT use, and encrypted in transit.

Isolated, and nothing stored Every session is isolated end to end, so one user’s data can never surface in another’s. And the AI keeps no copies of your data. It lives where it always has, in your Kaiterra account.

Never used to train third-party AI models Enterprise agreements with our AI providers prohibit using your data to train or improve their models.

You approve every change Read-only by default. Creating an alert or renaming a device requires your explicit confirmation.

Enterprise controls Organizations that prohibit AI processing can opt out at the organization level.

Frequently asked questions

What does Kaiterra AI do?

An AI assistant that analyzes your IAQ and IEQ data on demand. Ask a question in plain language about a room, a building, or your whole portfolio, and get a clear answer with the underlying context. It works for daily diagnostics, monthly reports, certification progress checks, event investigations, and more.

Can it see data I’m not allowed to see?

No. It answers using your own credentials and role-based permissions. It can only ever see what you can.

Is my data used to train AI?

No. Your data is never used to train third-party AI models, and nothing is retained by the AI layer beyond your active session.

Does it replace my dashboards?

No. It makes the data inside your dashboards accessible to anyone on your team, in plain language, without any training required and with zero learning curve.

How do I get access?

Kaiterra AI is currently in Early Access, an opt-in program for select customers. If you'd like to enroll your team, contact your Kaiterra account manager or get in touch with our Sales team .

What does it cost?

For pricing inquiries, get in touch with our Sales team.

How accurate is it?

Kaiterra AI is reliable for the questions it's built to answer: diagnostics, reporting, compliance checks, and event investigations against your own data. Every answer cites the underlying data points and the calculation behind them, so you can verify before acting.

Can I use it for WELL or LEED compliance?

Kaiterra AI can support your WELL and LEED work by tracking your data against the relevant thresholds and showing which points you're on track to earn. Before a formal submission, verify critical figures against the raw data in your Kaiterra Data Platform.

What’s the difference between Kaiterra AI and the Kaiterra MCP?

Kaiterra AI is the ready-to-use assistant inside your Kaiterra account, tuned for building performance questions. The Kaiterra MCP is a connector that brings Kaiterra data into your own AI tools, like Claude, ChatGPT, or Gemini. Use Kaiterra AI if you want the built-in experience. Use the MCP if your organization has a corporate AI standard, or if you're building custom tools or workflows on top of Kaiterra data.

Ready to talk to your buildings?

Book a Demo

Ask your buildings anything

You have the data. Getting answers shouldn’t be this hard.

Closing the loop for building performance, simply by chatting

Stay in the know, with zero effort

Dive deep into problematic areas

Report to your team in one click

Integrate with your existing tools

See Kaiterra AI in action

Built to understand your building.

See Kaiterra AI in action

See what you can ask.

Less time clicking. More time deciding.

Your AI sees exactly what you see. Nothing more, nothing less.

Frequently asked questions

Ready to talk to your buildings?

Less time clicking.

More time deciding.